Abstract #4525
Diffusion Kurtosis Imaging based Tractography
Rafael Neto Henriques 1,2 , Luis Lacerda 2,3 , Rita Nunes 2 , Marta Morgado Correia 1 , and Hugo Alexandre Ferreira 2
1
Cognition and Brain Science Unit, Medical
Research Council, Cambridge, United Kingdom,
2
Institute
of Biophysics and Biomedical Engineering, Faculty of
Sciences of the University of Lisbon, Lisbon, Portugal,
3
Centre
for Neuroimaging Sciences, Institute of Psychiatry,
King's College London, London, United Kingdom
Diffusion kurtosis Imaging (DKI) is an extension of
diffusion tensor imaging. In addition to the diffusion
tensor, DKI estimates a diffusion kurtosis tensor which
provides an indirect measure of tissue heterogeneity.
Moreover, previous studies show that the diffusion
kurtosis tensor can help resolve crossing fibres. Thus,
DKI-based tractography algorithms can be advantageous
for visualization of crossing white matter pathways in
clinical applications since they require less data and
hence shorter scanning times relative to HARDI methods.
Here, two tractography algorithms based on DKI are
evaluated, one of which is shown to be able to resolve
fibers crossing up to 45.
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